基于Hamming网络的空袭目标评估模型  

Model of Threat Evaluation of Air Targets Based on Hamming Neural Networks

作　　者：赵晔[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《火力与指挥控制》2004年第z1期105-106,109,共3页Fire Control & Command Control

摘　　要：针对空袭目标威胁程度评估问题,在模糊优化模型的基础上,提出了一种基于Hamming神经网络的求解方法。该方法将神经网络与模糊优化模型相结合,既方便了原问题的描述又简化了问题的求解,发挥了二者的集合优势。经仿真试验证明了该模型的有效性。该方法为此类问题的研究提供了一种有效、可靠的新途径,同时它也是模糊理论与人工神经网络相结合的理论方法的有益尝试。Aiming for the problem of threat evaluation of air targets,the model of Hamming neural networks is put forward based on the fuzzy optimization model.The method of combining Hamming neural networks with fuzzy optimization model reveals the compound advantages of these two methods,and gives more convenient depiction for the original problem and simplifies its solution.The availability of the model is tested and verified by emulations.So the method is an effective and reliable way to resolve this kind of problem,meanwhile it is a useful try to the theory of combining Artificial Neural Networks with Fuzzy Reasoning.

关 键 词：空袭目标 威胁评估 模糊优化 HAMMING神经网络 

分 类 号：E92[军事—军事装备学] E072[兵器科学与技术—武器系统与运用工程]